About
Jupyter MCP Server enables AI assistants to connect to and interact with Jupyter Notebooks in real-time through the Model Context Protocol. Key capabilities include: - Real-time notebook monitoring and instant visibility into cell changes - Smart code execution with automatic error handling and feedback-based adjustments - Context-aware interactions that understand the full notebook state - Multimodal output support including text, images, and plots - Multi-notebook management with seamless switching between different notebooks - JupyterLab integration with automatic notebook opening and enhanced UI features - Compatible with any MCP client (Claude Desktop, Cursor, Windsurf) and any Jupyter deployment including local installations, JupyterHub, and Google Colab
README
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🪐🔧 Jupyter MCP Server
An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time
*Developed by Datalayer*
[](https://pypi.org/project/jupyter-mcp-server) [](https://pepy.tech/project/jupyter-mcp-server) [](https://hub.docker.com/r/datalayer/jupyter-mcp-server) [](https://opensource.org/licenses/BSD-3-Clause)
> [!NOTE] > We Need Your Feedback! > > We're actively developing support for JupyterHub and Google Colab deployments. If you're using or planning to use Jupyter MCP Server with these platforms, we'd love to hear from you! > > - 🏢 JupyterHub users: Share your deployment setup and requirements > - 🌐 Google Colab users: Help us understand your use cases and workflows > > Join the conversation in our Community page - your feedback will help us prioritize features and ensure these integrations work seamlessly for your needs.
📖 Table of Contents
🚀 Key Features
Compatible with any Jupyter deployment (local, JupyterHub, ...) and with Datalayer hosted Notebooks.
🔧 MCP Overview
🔧 Tools Overview
The server provides a rich set of tools for interacting with Jupyter notebooks, categorized as follows. For more details on each tool, their parameters, and return values, please refer to the official Tools documentation.
#### Server Management Tools
| Name | Description |
| :--------------- | :----------------------------------------------------------------------------------------- |
| list_files | List files and directories in the Jupyter server's file system. |
| list_kernels | List all available and running kernel sessions on the Jupyter server. |
| connect_to_jupyter | Connect to a Jupyter server dynamically without restarting the MCP server. *Not available when running as Jupyter extension. Useful for switching servers dynamically or avoiding hardcoded configuration.* Read more |
#### Multi-Notebook Management Tools
| Name | Description |
| :----------------- | :--------------------------------------------------------------------------------------- |
| use_notebook | Connect to a notebook file, create a new one, or switch between notebooks. |
| list_notebooks | List all notebooks available on the Jupyter server and their status |
| restart_notebook | Restart the kernel for a specific managed notebook. |
| unuse_notebook | Disconnect from a specific notebook and release its resources. |
| read_notebook | Read notebook cells source content with brief or detailed format optio
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